Research graph
References from Generalization Bounds: Perspectives from Information Theory and PAC-Bayes. Local targets link to admitted publications; unresolved targets remain external evidence.
The information complexity of learning tasks, their structure and their distance
10.1093/imaiai/iaaa033 · 2021 · External reference
Emergence of Invariance and Disentanglement in Deep Representations
10.1109/ita.2018.8503149 · 2018 · External reference
A new look at the statistical model identification
10.1109/tac.1974.1100705 · 1974 · External reference
Towards a Unified Theory of Learning and Information
10.3390/e22040438 · 2020 · External reference
Unresolved reference
2006 · External reference
PAC-Bayesian bounds for randomized empirical risk minimizers
10.3103/s1066530708040017 · 2008 · External reference
10.1561/2200000100 · 2024 · Admitted local publication
Sparse single-index model
2013 · External reference
An oracle inequality for quasi-Bayesian nonnegative matrix factorization
10.3103/s1066530717010045 · 2017 · External reference
Simpler PAC-Bayesian bounds for hostile data
10.1007/s10994-017-5690-0 · 2018 · External reference
PAC-Bayesian bounds for sparse regression estimation with exponential weights
10.1214/11-ejs601 · 2011 · External reference
On the properties of variational approximations of Gibbs posteriors
2016 · External reference
10.7551/mitpress/7503.003.0007
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2022 · External reference
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2021 · External reference
10.1109/isit50566.2022.9834474
10.1109/isit50566.2022.9834474 · 2022 · External reference
10.1109/itw46852.2021.9457642
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10.1109/isit45174.2021.9518043
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2018 · External reference
10.52202/068431-0226
10.52202/068431-0226 · 2022 · External reference
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2018 · External reference
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2018 · External reference
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks
2020 · External reference
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Combining PAC-Bayesian and Generic Chaining Bounds
2007 · External reference
10.1145/1143844.1143855
10.1145/1143844.1143855 · 2006 · External reference
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2022 · External reference
10.1109/isit45174.2021.9517960
10.1109/isit45174.2021.9517960 · 2021 · External reference
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2017 · External reference
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2001 · External reference
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
10.1007/3-540-44581-1_15 · 2002 · External reference
Learners That Use Little Information
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10.1145/2897518.2897566
10.1145/2897518.2897566 · 2016 · External reference
A Model of Inductive Bias Learning
10.1613/jair.731 · 2000 · External reference
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2014 · External reference
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2016 · External reference
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2021 · External reference
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks
10.3390/e23101280 · 2021 · External reference
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2022 · External reference
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2023 · External reference
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Stability and Generalization
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Tightening Mutual Information-Based Bounds on Generalization Error
10.1109/isit.2019.8849590 · 2020 · External reference
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2022 · External reference
Population Risk Improvement with Model Compression: An Information-Theoretic Approach
10.3390/e23101255 · 2021 · External reference
10.1109/isit.2019.8849590
10.1109/isit.2019.8849590 · 2019 · External reference
A short note on an inequality between KL and TV
10.48550/arxiv.2202.07198 · 2022 · External reference
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2024 · External reference
Multitask Learning
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2007 · External reference
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10.1007/b99352
10.1007/b99352 · 2004 · External reference
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2018 · External reference
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10.52202/075280-3469
10.52202/075280-3469 · 2023 · External reference
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2022 · External reference
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2023 · External reference
A note on regularised NTK dynamics with an application to PAC-Bayesian training
2024 · External reference
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2022 · External reference
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2006 · External reference
10.1017/cbo9780511801389
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10.1017/cbo9780511921889
10.1017/cbo9780511921889 · 2011 · External reference
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10.1214/12-aos1038 · 2012 · External reference
10.1007/978-3-540-72927-3_9
10.1007/978-3-540-72927-3_9 · 2007 · External reference
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity
10.1007/s10994-008-5051-0 · 2008 · External reference
Sparse regression learning by aggregation and Langevin Monte-Carlo
10.1016/j.jcss.2011.12.023 · 2012 · External reference
Distribution-free performance bounds for potential function rules
10.1109/tit.1979.1056087 · 1979 · External reference
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2017 · External reference
10.1109/itw48936.2021.9611483
10.1109/itw48936.2021.9611483 · 2021 · External reference
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2015 · External reference
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2021 · External reference
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2017 · External reference
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2018 · External reference
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2020 · External reference
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2018 · External reference
On the Probable Errors of Frequency-Constants
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10.1109/isit50566.2022.9834354
10.1109/isit50566.2022.9834354 · 2022 · External reference
Generalization Error Bounds via Rényi-, f-Divergences and Maximal Leakage
10.1109/tit.2021.3085190 · 2021 · External reference
10.1109/isit54713.2023.10206899
10.1109/isit54713.2023.10206899 · 2023 · External reference
10.1109/isit45174.2021.9517944
10.1109/isit45174.2021.9517944 · 2021 · External reference
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2021 · External reference
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2018 · External reference
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10.1098/rsta.1922.0009 · 1922 · External reference
PAC-Bayesian Lifelong Learning for Multi-Armed Bandits
10.1007/s10618-022-00825-4 · 2022 · External reference
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2021 · External reference
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2021 · External reference
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2023 · External reference
On Information Plane Analyses of Neural Network Classifiers A Review
10.1109/tnnls.2021.3089037 · 2021 · External reference
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2022 · External reference
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2016 · External reference
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2016 · External reference
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm
2015 · External reference
10.1145/1553374.1553419
10.1145/1553374.1553419 · 2009 · External reference
Unresolved reference
2009 · External reference
Some Limit Theorems for Empirical Processes
10.1214/aop/1176993138 · 1984 · External reference
The Information Bottleneck Problem and its Applications in Machine Learning
10.1109/jsait.2020.2991561 · 2020 · External reference
10.1109/allerton49937.2022.9929353
10.1109/allerton49937.2022.9929353 · 2022 · External reference
10.1007/978-3-319-71246-8_13
10.1007/978-3-319-71246-8_13 · 2017 · External reference
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes
2020 · External reference
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2021 · External reference
10.7551/mitpress/4643.001.0001
10.7551/mitpress/4643.001.0001 · 2007 · External reference
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2019 · External reference
Exponential Stochastic Inequality
10.48550/arxiv.2304.14217 · 2023 · External reference
A primer on PAC-Bayesian learning
10.48550/arxiv.1901.05353 · 2019 · External reference
PAC-Bayesian estimation and prediction in sparse additive models
10.1214/13-ejs771 · 2013 · External reference
PAC-Bayesian high dimensional bipartite ranking
10.1016/j.jspi.2017.10.010 · 2018 · External reference
Unresolved reference
2022 · External reference
PAC-Bayes Generalisation Bounds for Heavy-Tailed Losses through Supermartingales
2023 · External reference
Wasserstein PAC-Bayes Learning: Exploiting Optimisation Guarantees to Explain Generalisation
10.48550/arxiv.2304.07048 · 2023 · External reference
PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses
10.3390/e23101330 · 2021 · External reference
Unresolved reference
2020 · External reference
Information-Theoretic Analysis of Minimax Excess Risk
10.1109/tit.2023.3249636 · 2023 · External reference
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2021 · External reference
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2020 · External reference
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2021 · External reference
10.1109/isit50566.2022.9834400
10.1109/isit50566.2022.9834400 · 2022 · External reference
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2016 · External reference
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2021 · External reference
10.1109/itw54588.2022.9965850
10.1109/itw54588.2022.9965850 · 2022 · External reference
10.1006/inco.1994.1097
10.1006/inco.1994.1097 · 1988 · External reference
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
2022 · External reference
Generalization Bounds via Information Density and Conditional Information Density
10.1109/jsait.2020.3040992 · 2020 · External reference
10.1109/isit44484.2020.9174475
10.1109/isit44484.2020.9174475 · 2020 · External reference
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2021 · External reference
10.1109/isit45174.2021.9517731
10.1109/isit45174.2021.9517731 · 2021 · External reference
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2022 · External reference
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2022 · External reference
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2024 · External reference
A PAC-Bayesian margin bound for linear classifiers
10.1109/tit.2002.805090 · 2002 · External reference
10.1007/978-3-642-16108-7_15
10.1007/978-3-642-16108-7_15 · 2010 · External reference
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2019 · External reference
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection
2023 · External reference
An operational approach to information leakage
10.1109/tit.2019.2962804 · 2020 · External reference
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2023 · External reference
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2018 · External reference
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2023 · External reference
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2020 · External reference
10.1109/isit.2017.8006774
10.1109/isit.2017.8006774 · 2017 · External reference
Weight Expansion: A New Perspective on Dropout and Generalization
2022 · External reference
Unresolved reference
2022 · External reference
Information-Theoretic Generalization Bounds for Meta-Learning and Applications
10.3390/e23010126 · 2021 · External reference
Transfer Meta-Learning: Information- Theoretic Bounds and Information Meta-Risk Minimization
10.1109/tit.2021.3119605 · 2022 · External reference
10.1109/mlsp52302.2021.9596170
10.1109/mlsp52302.2021.9596170 · 2021 · External reference
10.1109/isit45174.2021.9517767
10.1109/isit45174.2021.9517767 · 2021 · External reference
10.23919/eusipco54536.2021.9616270
10.23919/eusipco54536.2021.9616270 · 2021 · External reference
10.1109/itw55543.2023.10160236
10.1109/itw55543.2023.10160236 · 2023 · External reference
Advances and Open Problems in Federated Learning
10.1561/9781680837896 · 2021 · External reference
Unresolved reference
2023 · External reference
An Introduction to Variational Autoencoders
10.1561/9781680836233 · 2019 · External reference
On tables of random numbers
1963 · External reference
Rademacher penalties and structural risk minimization
10.1109/18.930926 · 2001 · External reference
10.1007/978-1-4612-1358-1_29
10.1007/978-1-4612-1358-1_29 · 2000 · External reference
10.1007/978-1-4939-7005-6_6
10.1007/978-1-4939-7005-6_6 · 2017 · External reference
Concentration Inequalities for Dependent Random Variables via the Martingale Method
10.1214/07-aop384 · 2008 · External reference
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2016 · External reference
An introduction to domain adaptation and transfer learning
10.48550/arxiv.1812.11806 · 2019 · External reference
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2002 · External reference
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2024 · External reference
10.7551/mitpress/7503.003.0101
10.7551/mitpress/7503.003.0101 · 2006 · External reference
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2002 · External reference
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2001 · External reference
Bounds for Averaging Classifiers
2001 · External reference
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2002 · External reference
Regularization and the small-ball method II: complexity dependent error rates
2017 · External reference
Regularization and the small-ball method I: sparse recovery
10.1214/17-aos1562 · 2018 · External reference
Unresolved reference
2018 · External reference
The importance of convexity in learning with squared loss
10.1109/18.705577 · 1998 · External reference
Unresolved reference
2019 · External reference
Information Theory and Mixing Least-Squares Regressions
10.1109/tit.2006.878172 · 2006 · External reference
10.1007/978-3-642-16108-7_13
10.1007/978-3-642-16108-7_13 · 2010 · External reference
Tighter PAC-Bayes bounds through distribution-dependent priors
10.1016/j.tcs.2012.10.013 · 2013 · External reference
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2013 · External reference
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2020 · External reference
A Quasi-Bayesian Perspective to Online Clustering
10.1214/18-ejs1479 · 2018 · External reference
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1999 · External reference
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2021 · External reference
Relating Data Compression and Learnability
2003 · External reference
Towards Out-Of-Distribution Generalization: A Survey
10.48550/arxiv.2108.13624 · 2021 · External reference
Statistical Generalization Performance Guarantee for Meta-Learning with Data Dependent Prior
10.1016/j.neucom.2021.09.018 · 2021 · External reference
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2017 · External reference
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2017 · External reference
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2014 · External reference
10.1109/itw.2018.8613445
10.1109/itw.2018.8613445 · 2018 · External reference
Unresolved reference
2022 · External reference
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2022 · External reference
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
10.48550/arxiv.2305.19674 · 2023 · External reference
A Measure Concentration Inequality for Contracting Markov Chains
10.1007/bf02249263 · 1996 · External reference
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2007 · External reference
10.48550/arxiv.cs/0411099
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2023 · External reference
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2023 · External reference
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10.1145/279943.279989 · 1998 · External reference
10.1145/307400.307435
10.1145/307400.307435 · 1999 · External reference
PAC-Bayesian Stochastic Model Selection
10.1023/a:1021840411064 · 2003 · External reference
10.1007/978-3-540-45167-9_16
10.1007/978-3-540-45167-9_16 · 2003 · External reference
A PAC-Bayesian Tutorial with a Dropout Bound
10.48550/arxiv.1307.2118 · 2013 · External reference
10.1145/2699439
10.1145/2699439 · 2014 · External reference
Learning without concentration for general loss functions
10.1007/s00440-017-0784-y · 2018 · External reference
Meta-Strategy for Learning Tuning Parameters with Guarantees
10.3390/e23101257 · 2021 · External reference
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2019 · External reference
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2020 · External reference
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2024 · External reference
10.1109/itw48936.2021.9611387
10.1109/itw48936.2021.9611387 · 2021 · External reference
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2018 · External reference
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2018 · External reference
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2024 · External reference
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2018 · External reference
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2019 · External reference
10.1007/978-1-4612-0745-0
10.1007/978-1-4612-0745-0 · 1994 · External reference
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2019 · External reference
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2020 · External reference
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2021 · External reference
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2017 · External reference
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2018 · External reference
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2019 · External reference
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2015 · External reference
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
10.1109/tit.2010.2068870 · 2010 · External reference
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2020 · External reference
Unresolved reference
2021 · External reference
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy
10.1016/j.neucom.2019.12.137 · 2020 · External reference
A modern introduction to online learning
10.48550/arxiv.1912.13213 · 2023 · External reference
Lautum Information
10.1109/tit.2007.915715 · 2008 · External reference
PAC-Bayes Bounds with Data Dependent Priors
10.1007/978-3-7908-2604-3_21 · 2012 · External reference
10.1109/isit.2018.8437571
10.1109/isit.2018.8437571 · 2018 · External reference
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2014 · External reference
Unresolved reference
2019 · External reference
Tighter Risk Certificates for Neural Networks
2021 · External reference
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10.1109/isit54713.2023.10206506 · 2023 · External reference
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2020 · External reference
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2022 · External reference
10.1109/isit50566.2022.9834457
10.1109/isit50566.2022.9834457 · 2022 · External reference
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2019 · External reference
10.1109/itw.2016.7606789
10.1109/itw.2016.7606789 · 2016 · External reference
10.1017/9781108616799.011
10.1017/9781108616799.011 · 2021 · External reference
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10.1561/0100000064 · 2013 · External reference
Stability results in learning theory
10.1142/s0219530505000650 · 2005 · External reference
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary beta-Mixing Processes
2010 · External reference
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2022 · External reference
A survey on domain adaptation theory: learning bounds and theoretical guarantees
10.48550/arxiv.2004.11829 · 2022 · External reference
10.1109/isit45174.2021.9518020
10.1109/isit45174.2021.9518020 · 2021 · External reference
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2022 · External reference
Sparse Estimation by Exponential Weighting
10.1214/12-sts393 · 2012 · External reference
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
10.48550/arxiv.2302.11709 · 2023 · External reference
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2020 · External reference
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PAC-Bayes with Backprop
10.48550/arxiv.1908.07380 · 2019 · External reference
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Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data
10.1109/tit.2021.3111480 · 2021 · External reference
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A Finite Sample DistributionFree Performance Bound for Local Discrimination Rules
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2002 · External reference
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PAC-Bayesian Inequalities for Martingales
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PAC-Bayesian Analysis of Co-clustering and Beyond
2010 · External reference
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2020 · External reference
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10.48550/arxiv.1703.00810 · 2017 · External reference
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Stability-based PAC-Bayes analysis for multi-view learning algorithms
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Operational interpretation of Rényi information measures via composite hypothesis testing against product and Markov distributions
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2020 · External reference
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Fast rates in statistical and online learning
2015 · External reference
Rényi divergence and Kull-back-Leibler divergence
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On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
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10.1017/9781108231596
10.1017/9781108231596 · 2018 · External reference
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2019 · External reference
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2024 · External reference
Learning via Wasserstein-Based High Probability Generalisation Bounds
10.48550/arxiv.2306.04375 · 2023 · External reference
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2021 · External reference
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10.1017/9781108627771
10.1017/9781108627771 · 2019 · External reference
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2021 · External reference
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels
2023 · External reference
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2019 · External reference
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2022 · External reference
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2022 · External reference
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2023 · External reference
A survey of transfer learning
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Weak transport inequalities and applications to exponential and oracle inequalities
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2023 · External reference
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2017 · External reference
Minimum Excess Risk in Bayesian Learning
10.1109/tit.2022.3176056 · 2022 · External reference
10.1109/spawc48557.2020.9154277
10.1109/spawc48557.2020.9154277 · 2020 · External reference
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2019 · External reference
Information-theoretic determination of minimax rates of convergence
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2021 · External reference
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